Global Enterprise Partners is seeking an experienced Data Scientist to join a prominent global manufacturing client for a high priority Digital Transformation program.

Primary Responsibilities

• Develop and implement advanced ML/AI models for anomaly detection in hydro power energy production systems.
• Experiment with and evaluate different modelling techniques to improve anomaly detection accuracy over current statistical models.
• Design, train, and test models using big data and time series data.
• Utilize Azure Databricks and PySpark for processing and analysing large datasets.
• Optimize data pipelines for efficient model training and inference.
• Work closely with data engineers, domain experts, and other stakeholders to gather requirements and ensure models meet business needs.
• Communicate findings and model performance metrics to technical and non-technical stakeholders.
• Document model development processes, data workflows, and findings.
• Generate detailed reports and presentations to share insights and model evaluations.

Required Qualifications:

• +5 years' experience in data science, with a focus on big data processing and time series data.
• Proven experience in developing ML models, particularly for time series data.
• Experience in anomaly detection and predictive maintenance is a plus
• Proficiency with Azure Databricks and PySpark.
• Strong programming skills in Python and familiarity with relevant libraries such as scikit-learn, TensorFlow.
• Experience with anomaly detection models.
• Knowledge of physical connections and operational aspects of hydroelectric power plants is a plus.
• Advanced Analytical Thinking
• Proficiency in ML/AI Techniques and experience with MLflow
• Familiarity with data management tools and platforms.
• Knowledge of agile development methodologies.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork.

Contract Details:

• Start Date: September
• Duration: 6months + with extensions
• Location: Hybrid- Oslo or Stavanger
• Contract Type: Full-time, freelance
• Rate: What are your expectations

Interested?
If you or someone you know is interested, please apply directly with an updated CV or contact me directly